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Stromal proteome expression profile and muscle-invasive bladder cancer research

BACKGROUND: To globally characterize the cancer stroma expression profile of muscle-invasive transitional cell carcinoma and to discuss the cancer biology as well as biomarker discovery from stroma. Laser capture micro dissection was used to harvest purified muscle-invasive bladder cancer stromal ce...

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Autores principales: Niu, Haitao, Jiang, Haiping, Cheng, Bo, Li, Xinhui, Dong, Qian, Shao, Leping, Liu, Shiguo, Wang, Xinsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489783/
https://www.ncbi.nlm.nih.gov/pubmed/22920603
http://dx.doi.org/10.1186/1475-2867-12-39
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author Niu, Haitao
Jiang, Haiping
Cheng, Bo
Li, Xinhui
Dong, Qian
Shao, Leping
Liu, Shiguo
Wang, Xinsheng
author_facet Niu, Haitao
Jiang, Haiping
Cheng, Bo
Li, Xinhui
Dong, Qian
Shao, Leping
Liu, Shiguo
Wang, Xinsheng
author_sort Niu, Haitao
collection PubMed
description BACKGROUND: To globally characterize the cancer stroma expression profile of muscle-invasive transitional cell carcinoma and to discuss the cancer biology as well as biomarker discovery from stroma. Laser capture micro dissection was used to harvest purified muscle-invasive bladder cancer stromal cells and normal urothelial stromal cells from 4 paired samples. Two-dimensional liquid chromatography tandem mass spectrometry was used to identify the proteome expression profile. The differential proteins were further analyzed using bioinformatics tools and compared with the published literature. RESULTS: We identified 868/872 commonly expressed proteins and 978 differential proteins from 4 paired cancer and normal stromal samples using laser capture micro dissection coupled with two-dimensional liquid chromatography tandem mass spectrometry. 487/491 proteins uniquely expressed in cancer/normal stroma. Differential proteins were compared with the entire list of the international protein index (IPI), and there were 42/42 gene ontology (GO) terms exhibited as enriched and 8/5 exhibited as depleted in cellular Component, respectively. Significantly altered pathways between cancer/normal stroma mainly include metabolic pathways, ribosome, focal adhesion, etc. Finally, descriptive statistics show that the stromal proteins with extremes of PI and MW have the same probability to be a biomarker. CONCLUSIONS: Based on our results, stromal cells are essential component of the cancer, biomarker discovery and network based multi target therapy should consider neoplastic cells itself and corresponding stroma as whole one.
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spelling pubmed-34897832012-11-06 Stromal proteome expression profile and muscle-invasive bladder cancer research Niu, Haitao Jiang, Haiping Cheng, Bo Li, Xinhui Dong, Qian Shao, Leping Liu, Shiguo Wang, Xinsheng Cancer Cell Int Primary Research BACKGROUND: To globally characterize the cancer stroma expression profile of muscle-invasive transitional cell carcinoma and to discuss the cancer biology as well as biomarker discovery from stroma. Laser capture micro dissection was used to harvest purified muscle-invasive bladder cancer stromal cells and normal urothelial stromal cells from 4 paired samples. Two-dimensional liquid chromatography tandem mass spectrometry was used to identify the proteome expression profile. The differential proteins were further analyzed using bioinformatics tools and compared with the published literature. RESULTS: We identified 868/872 commonly expressed proteins and 978 differential proteins from 4 paired cancer and normal stromal samples using laser capture micro dissection coupled with two-dimensional liquid chromatography tandem mass spectrometry. 487/491 proteins uniquely expressed in cancer/normal stroma. Differential proteins were compared with the entire list of the international protein index (IPI), and there were 42/42 gene ontology (GO) terms exhibited as enriched and 8/5 exhibited as depleted in cellular Component, respectively. Significantly altered pathways between cancer/normal stroma mainly include metabolic pathways, ribosome, focal adhesion, etc. Finally, descriptive statistics show that the stromal proteins with extremes of PI and MW have the same probability to be a biomarker. CONCLUSIONS: Based on our results, stromal cells are essential component of the cancer, biomarker discovery and network based multi target therapy should consider neoplastic cells itself and corresponding stroma as whole one. BioMed Central 2012-08-25 /pmc/articles/PMC3489783/ /pubmed/22920603 http://dx.doi.org/10.1186/1475-2867-12-39 Text en Copyright ©2012 Niu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Primary Research
Niu, Haitao
Jiang, Haiping
Cheng, Bo
Li, Xinhui
Dong, Qian
Shao, Leping
Liu, Shiguo
Wang, Xinsheng
Stromal proteome expression profile and muscle-invasive bladder cancer research
title Stromal proteome expression profile and muscle-invasive bladder cancer research
title_full Stromal proteome expression profile and muscle-invasive bladder cancer research
title_fullStr Stromal proteome expression profile and muscle-invasive bladder cancer research
title_full_unstemmed Stromal proteome expression profile and muscle-invasive bladder cancer research
title_short Stromal proteome expression profile and muscle-invasive bladder cancer research
title_sort stromal proteome expression profile and muscle-invasive bladder cancer research
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489783/
https://www.ncbi.nlm.nih.gov/pubmed/22920603
http://dx.doi.org/10.1186/1475-2867-12-39
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